skip to main content
10.1145/1099396.1099408acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
Article

Reliable real-time foreground detection for video surveillance applications

Published: 11 November 2005 Publication History

Abstract

Foreground segmentation is usually needed as an initial step in video surveillance applications. Background subtraction is typically used to segment moving regions by comparing each new frame to a model of the scene background. We present a segmentation algorithm that works in real-time and efficiently extracts foreground objects from indoor and outdoor scenes that may contain small environment motions. The model adapts quickly to changes in the video which enables very sensitive detection of moving targets. The evaluation performed shows that this approach reliably extracts the foreground with very low false alarms and false misses.

References

[1]
Gibbins, D., Newsam, G.N., Brooks, M.J., Detecting suspicious background changes in video surveillance of busy scenes, Third IEEE Workshop on Applications of Computer Vision, pages 22--26, 1996.
[2]
Haritaoglu, I., Harwood, D., Davis, L., W4: Real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):809--830, August 2000.
[3]
KaewTraKulPong, P., Bowden, R., An improved adaptive background mixture model for real-time tracking with shadow detection, Proceedings of the 2nd European Workshop on Advanced Video Based Surveillance Systems, September 2001.
[4]
Kapur, J.N., Sahoo, P.K., Wong, A.K.C., A new method for gray-level picture thresholding using the entropy of the histogram, Computer Vision, Graphics and Image Processing, 29, pages 273--285, 1985.
[5]
Li, L., Gu, I.Y.H., Tian, Q., Foreground object detection from videos containing complex background, Proceedings of the 11th international conference on Multimedia, November 2003.
[6]
Lipton, A., Fujiyoshi, H., Patil, R., Moving target classification and tracking from real-time video. Proceedings IEEE Workshop on Application of Computer Vision, pages 8--14. IEEE Computer Society, 1998.
[7]
Rosin, P.L., Thresholding for change detection, Proceedings of the IEEE International Conference on Computer Vision, pages 274--279, 1998.
[8]
Rosin, P.L., Ioannidis, E., Evaluation of global image thresholding for change detection, Pattern Recognition Letters, 24, pages 2345--2356, 2003.
[9]
Toyama, K., Krumm, J., Brumitt, B., Meyers, B., Wallflower: Principles and Practice of Background Maintenance. Proceedings of IEEE International Conference on Computer Vision, pages 255--261. IEEE Computer Society, 1999.
[10]
Wren, C., Azarbaygaui, A., Darrel, T., Pentland, A., Pfinder: Real-time tracking of the human body. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):780--785, July 1997.

Cited By

View all
  • (2011)Hybrid box-based codebook model for foreground - background segmentation in real time videos2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)10.1109/SIU.2011.5929595(94-97)Online publication date: Apr-2011
  • (2010)Video sensor network for real-time traffic monitoring and surveillanceIET Intelligent Transport Systems10.1049/iet-its.2008.00924:2(103)Online publication date: 2010
  • (2007)Satellite imagery based adaptive background models and shadow suppressionSignal, Image and Video Processing10.1007/s11760-007-0013-81:2(119-132)Online publication date: 25-Apr-2007
  • Show More Cited By

Index Terms

  1. Reliable real-time foreground detection for video surveillance applications

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    VSSN '05: Proceedings of the third ACM international workshop on Video surveillance & sensor networks
    November 2005
    168 pages
    ISBN:1595932429
    DOI:10.1145/1099396
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 November 2005

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. background model
    2. foreground segmentation
    3. motion detection
    4. video surveillance

    Qualifiers

    • Article

    Conference

    MM&Sec '05
    MM&Sec '05: Multimedia and Security Workshop 2005
    November 11, 2005
    Hilton, Singapore

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 15 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2011)Hybrid box-based codebook model for foreground - background segmentation in real time videos2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)10.1109/SIU.2011.5929595(94-97)Online publication date: Apr-2011
    • (2010)Video sensor network for real-time traffic monitoring and surveillanceIET Intelligent Transport Systems10.1049/iet-its.2008.00924:2(103)Online publication date: 2010
    • (2007)Satellite imagery based adaptive background models and shadow suppressionSignal, Image and Video Processing10.1007/s11760-007-0013-81:2(119-132)Online publication date: 25-Apr-2007
    • (2006)"Hybrid Cone-Cylinder" Codebook Model for Foreground Detection with Shadow and Highlight SuppressionProceedings of the IEEE International Conference on Video and Signal Based Surveillance10.1109/AVSS.2006.1Online publication date: 22-Nov-2006

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media